Experience and the organization of auditors’ knowledge

Managerial Auditing Journal

Volumn 12, Issue 8, 1997, Pages 411-422

  Davis, Charles E ^a  

^a BAYLOR UNIVERSITY   (United States)

Author keywords

Auditing profession; Experience; Knowledge workers

Indexed keywords

EID: 84993089976     PISSN: 02686902     EISSN: None     Source Type: Journal    
DOI: 10.1108/02686909710177205     Document Type: Article

References (45)

1. Abdolmohammadi, M. and Wright, A. (1987), “An examination of the effects of experience and task complexity on audit judgments”, Accounting Review, Vol. 62 No. 1, pp. 1-13.
2. Ashton, A.H. (1991), “Experience and error frequency knowledge as potential determinants of audit expertise”, Accounting Review, Vol. 66 No. 2, pp. 218-39.
3. Ashton, R.H., Kleinmuntz, D.N., Sullivan, J.B. and Tomassini, L.A. (1988), “Audit decision making”, in Abdel-Khalik, A.R. and Solomon, I. (Eds), Research Opportunities in Auditing: the Second Decade, American Accounting Association, Sarasota, FL, pp. 95-132.
4. Bédard, J. and Chi, M. (1993), “Expertise in auditing”, Auditing: A Journal of Practice and Theory, Vol. 12 (Supplement), pp. 21-45.
5. Bettman, J.R., and Kakkar, P. (1977), “Effects of information presentation format on consumer information acquisition strategies”, Journal of Consumer Research, Vol. 3 (March), pp. 233-40.
6. Bonner, S.E. (1990), “Experience effects in auditing: the role of task-specific knowledge”, Accounting Review, Vol. 65 No. 1, pp. 72-92.
7. Bonner, S.E. and Lewis, B.L. (1990), “Determinants of auditor expertise”, Journal of Accounting Research, Vol. 28 (Supplement), pp. 1-28.
8. Bonner, S.E. and Pennington, N. (1991), “Cognitive processes and knowledge as determinants of auditor expertise”, Journal of Accounting Literature, Vol. 10, pp. 1-50.
9. Calinski, T. and Harabasz, J. (1974), “A dendrite method for cluster analysis”, Communications in Statistics, Vol. 3 No. 1, pp. 1-27.
10. Chi, M.T.H., Feltovich, P.J. and Glaser, R. (1981), “Categorization and representation of physics problems by experts and novices”, Cognitive Science, Vol. 5 (April-June), pp. 121-52.
11. Chi, M.T.H., Glaser, R. and Rees, E. (1982), “Expertise in problem solving”, in Sternberg, R.J.(Ed.), Advances in the Psychology of Human Intelligence: Volume 1, Lawrence Erlbaum Associates, Hillsdale, NJ, pp. 7-75.
12. Coakley, J.R. and Loebbecke, J.K. (1985), “The expectation of accounting errors in mediumsized manufacturing firms”, Advances in Accounting, Vol. 2, pp. 199-245.
13. Choo, F. and Trotman, K.T. (1991), “The relationship between knowledge structure and judgments for experienced and inexperienced auditors”, Accounting Review, Vol. 66 No. 3, pp. 464-95.
14. Day, R.S. (1988), “Alternative representations”, in Bower, G.H. (Ed.), The Psychology of Learning and Motivation, Academic Press, New York, NY, pp. 261-305.
15. Dillon, W.R. and Goldstein, M. (1984), Multivariate Analysis: Methods and Applications, John Wiley and Sons, New York, NY.
16. Duda, R.O. and Hart, P.E. (1973), Pattern Classification and Scene Analysis, John Wiley and Sons, New York, NY.
17. Frederick, D.M. (1991), “Auditors' representation and retrieval of internal control knowledge”, Accounting Review, Vol. 66 No. 2, pp. 240-58.
18. Frederick, D.M., Heiman-Hoffman, V.B. and Libby, R. (1994), “The structure of auditors' knowledge of financial statement errors”, Auditing: A Journal of Practice and Theory, Vol. 13 No.1, pp. 1-21.
19. Gettys, C. and Fisher, S.D. (1979), “Hypothesis plausibility and hypothesis generation”, Organizational Behavior and Human Performance, Vol. 24, August, pp. 93-110.
20. Gibbins, M. (1984), “Propositions about the psychology of professional judgment in public accounting”, Journal of Accounting Research, Vol. 22 No. 1, pp. 103-125.
21. Gibbins, M. (1988), “Knowledge structures and experienced auditor judgment”, in Bailey, A.D. (Ed.), Auditor Productivity in the Year 2000: 1987 Proceedings of the Arthur Young Professors' Roundtable, Council of Arthur Young Professors, Reston, VA, pp. 51-73.
22. Hair, Jr, J.F., Anderson, R.E. and Tatham, R.L. (1987), Multivariate Data Analysis with Readings, Macmillan Publishing Co., New York, NY.
23. Hayes-Roth, B. and Hayes-Roth, F. (1975), “Plasticity in memorial networks”, Journal of Verbal Learning and Verbal Behavior, Vol. 14, October, pp. 506-22.
24. Heiman, V.B. (1990), “Auditors' assessments of the likelihood of error explanations in analytical review”, Accounting Review, Vol. 65 No. 4, pp. 875-90.
25. Larkin, J.H., McDermott, J., Simon, D.P. and Simon, H. A. (1980), “A model of competence in solving physics problems”, Science, Vol. 28, 20 June, pp. 1335-42.
26. Libby, R. (1985), “Availability and the generation of hypotheses in analytical review”, Journal of Accounting Research, Vol 23 No. 2, pp. 648-67.
27. Libby, R. (1995), “The role of knowledge and memory in audit judgment”, in Ashton, R.H. and Ashton, A.H. (Eds), Judgment and Decision Making Research in Accounting and Auditing, Cambridge University Press, Cambridge, pp. 176-206.
28. Libby, R. and Frederick, D.M. (1990), “Experience and the ability to explain audit findings”, Journal of Accounting Research, Vol. 28 No. 2, pp. 348-67.
29. Libby, R. and Luft, J. (1993), “Determinants of judgment performance in accounting settings: ability, knowledge, motivation, and environment”, Accounting, Organizations and Society, Vol. 18. No. 5, pp. 425-50.
30. Milligan, G.W. and Cooper, M.C. (1985), “An examination of procedures for determining the number of clusters in a data set”, Psychometrika, Vol. 50 No. 2. pp. 159-79.
31. Moeckel, C. (1990), “The effect of experience on auditors' memory errors”, Journal of Accounting Research, Vol. 28 No. 2, pp. 368-87.
32. Moeckel, C.L. and Plumlee, R.D. (1989), “Auditors' confidence in recognition of audit evidence”, Accounting Review, Vol. 64 No. 4, pp. 653-66.
33. Newell, A. and Simon, H.A. (1972), Human Problem Solving, Prentice-Hall, Englewood Cliffs, NJ.
34. Pei, B.K.W. and Reneau, J.H. (1990), “The effects of memory structure on using rule-based expert systems for training: a framework and an empirical test”, Decision Sciences, Vol. 21 No. 2, pp. 263-386.
35. Plumlee, R.D. (1985), “The standard of objectivity for internal auditors: memory and bias effects”, Journal of Accounting Research, Vol. 23 No. 2, pp. 683-99.
36. Premkumar, G. (1989), “A cognitive study of the decision-making process in a business context: implications for design of expert systems”, International Journal of Man-Machine Studies, Vol. 31, pp. 557-72.
37. Reimann, P. and Chi, M.T.H.(1989), “Human Expertise”, in Gilhooly, K.J. (Ed.) Human and Machine Problem Solving, Plenum Press, New York, NY, pp. 161-91.
38. Schoenfeld, A.H. and Herrmann, D.J. (1982), “Problem perception and knowledge structure in expert and novice mathematical problem solvers”, Journal of Experimental Psychology: Learning, Memory and Cognition, Vol. 8 No. 5, pp. 484-94.
39. Stone, D.N. and Schkade, D.A. (1991), “Numeric and linguistic information representation in multiattribute choice”, Organizational Behavior and Human Decision Processes, Vol. 49 No. 1, pp. 42-59.
40. Tubbs, R.M. (1992), “The effect of experience on the auditor's organization and amount of knowledge”, Accounting Review, Vol. 67 No. 4, pp. 783-801.
41. Vessey, I. (1991), “Cognitive fit: a theory-based analysis of the graphs versus tables literature”, Decision Sciences, Vol. 22, pp. 19-241.
42. Vessey, I. and Galletta, D. (1991), “Cognitive fit: an empirical study of information acquisition”, Information Systems Research, Vol. 2 No.1, pp. 63-84.
43. Waller, W.S. and Felix, Jr, W.L. (1984), “The auditor and learning from experience: some conjectures”, Accounting, Organizations and Society, Vol. 9 Nos 3/4, pp. 383-406.
44. Weber, R. (1980), “Some characteristics of the free recall of computer controls by EDP auditors”, Journal of Accounting Research, Vol. 18 No. 1, pp. 214-41.
45. Zeitz, C.M. and Spoehr, K.T. (1989), “Knowledge organization and the acquisition of procedural expertise”, Applied Cognitive Psychology, Vol. 3, October-December, pp. 313-36.